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"gwas_harmonisation_command": "--json /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1418_2/ukb-d-1418_2_data.json --ref /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/QC/genomes/b37/human_g1k_v37.fasta; 1.1.1",
"file_date": "2019-11-25T15:35:15.937861",
"bcftools_annotateVersion": "1.9-74-g6af271c+htslib-1.9-64-g226b4a8",
"bcftools_annotateCommand": "annotate -a /mnt/storage/home/gh13047/mr-eve/vcf-reference-datasets/dbsnp/dbsnp.v153.b37.vcf.gz -c ID -o /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1418_2/ukb-d-1418_2.vcf.gz -O z /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1418_2/ukb-d-1418_2_data.vcf.gz; Date=Mon Nov 25 16:26:15 2019",
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"bcftools_viewCommand": "view -h /mnt/storage/private/mrcieu/research/scratch/IGD/data/public/ukb-d-1418_2/ukb-d-1418_2.vcf.gz; Date=Sun May 10 23:22:00 2020"
}
*********************************************************************
* LD Score Regression (LDSC)
* Version 1.0.1
* (C) 2014-2019 Brendan Bulik-Sullivan and Hilary Finucane
* Broad Institute of MIT and Harvard / MIT Department of Mathematics
* GNU General Public License v3
*********************************************************************
Call:
./ldsc.py \
--h2 /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1418_2/ukb-d-1418_2.vcf.gz \
--ref-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/ \
--out /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1418_2/ldsc.txt \
--w-ld-chr /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/
Beginning analysis at Mon Nov 25 17:06:16 2019
Reading summary statistics from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/ukb-d-import/processed/ukb-d-1418_2/ukb-d-1418_2.vcf.gz ...
Read summary statistics for 13586586 SNPs.
Dropped 12711 SNPs with duplicated rs numbers.
Reading reference panel LD Score from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/[1-22] ...
Read reference panel LD Scores for 1290028 SNPs.
Removing partitioned LD Scores with zero variance.
Reading regression weight LD Score from /mnt/storage/private/mrcieu/research/scratch/IGD/data/dev/reference/eur_w_ld_chr/[1-22] ...
Read regression weight LD Scores for 1290028 SNPs.
After merging with reference panel LD, 1283504 SNPs remain.
After merging with regression SNP LD, 1283504 SNPs remain.
Using two-step estimator with cutoff at 30.
Total Observed scale h2: 0.0133 (0.0014)
Lambda GC: 1.0892
Mean Chi^2: 1.0967
Intercept: 1.002 (0.006)
Ratio: 0.0206 (0.0617)
Analysis finished at Mon Nov 25 17:08:34 2019
Total time elapsed: 2.0m:17.97s
{
"af_correlation": 0.9521,
"inflation_factor": 1.0513,
"mean_EFFECT": -0,
"n": 360806,
"n_snps": 13586586,
"n_clumped_hits": 0,
"n_p_sig": 0,
"n_mono": 0,
"n_ns": 1251809,
"n_mac": 0,
"is_snpid_unique": false,
"n_miss_EFFECT": 0,
"n_miss_SE": 0,
"n_miss_PVAL": 0,
"n_miss_AF": 0,
"n_miss_AF_reference": 569292,
"n_est": 362181.1158,
"ratio_se_n": 1.0019,
"mean_diff": -0,
"ratio_diff": 161.9762,
"sd_y_est1": 0.477,
"sd_y_est2": 0.4779,
"r2_sum1": 0,
"r2_sum2": 0,
"r2_sum3": 0,
"r2_sum4": 0,
"ldsc_nsnp_merge_refpanel_ld": 1283504,
"ldsc_nsnp_merge_regression_ld": 1283504,
"ldsc_observed_scale_h2_beta": 0.0133,
"ldsc_observed_scale_h2_se": 0.0014,
"ldsc_intercept_beta": 1.002,
"ldsc_intercept_se": 0.006,
"ldsc_lambda_gc": 1.0892,
"ldsc_mean_chisq": 1.0967,
"ldsc_ratio": 0.0207
}
name | value |
---|---|
af_correlation | FALSE |
inflation_factor | FALSE |
n | FALSE |
is_snpid_non_unique | TRUE |
mean_EFFECT_nonfinite | FALSE |
mean_EFFECT_05 | FALSE |
mean_EFFECT_01 | FALSE |
mean_chisq | FALSE |
n_p_sig | FALSE |
miss_EFFECT | FALSE |
miss_SE | FALSE |
miss_PVAL | FALSE |
ldsc_ratio | FALSE |
ldsc_intercept_beta | FALSE |
n_clumped_hits | FALSE |
r2_sum1 | FALSE |
r2_sum2 | FALSE |
r2_sum3 | FALSE |
r2_sum4 | FALSE |
General metrics
af_correlation
: Correlation coefficient between AF
and AF_reference
.inflation_factor
(lambda
): Genomic inflation factor.mean_EFFECT
: Mean of EFFECT
size.n
: Maximum value of reported sample size across all SNPs, \(n\).n_clumped_hits
: Number of clumped hits.n_snps
: Number of SNPsn_p_sig
: Number of SNPs with pvalue below 5e-8
.n_mono
: Number of monomorphic (MAF == 1
or MAF == 0
) SNPs.n_ns
: Number of SNPs with nonsense values:
A, C, G or T
.< 0
or > 1
.<= 0
or = Infinity
).< 0
or > 1
.n_mac
: Number of cases where MAC
(\(2 \times N \times MAF\)) is less than 6
.is_snpid_unique
: true
if the combination of ID
REF
ALT
is unique and therefore no duplication in snpid.n_miss_<*>
: Number of NA
observations for <*>
column.se_n metrics
n_est
: Estimated sample size value, \(\widehat{n}\).ratio_se_n
: \(\texttt{ratio_se_n} = \frac{\sqrt{\widehat{n}}}{\sqrt{n}}\). We expect ratio_se_n
to be 1. When it is not 1, it implies that the trait did not have a variance of 1, the reported sample size is wrong, or that the SNP-level effective sample sizes differ markedly from the reported sample size.mean_diff
: \(\texttt{mean_diff} = \sum_{j} \frac{\widehat{\beta_j^{std}} - \beta_j}{\texttt{n_snps}}\), mean difference between the standardised beta, predicted from P-values, and the observed beta. The difference should be very close to zero if trait has a variance of 1.
ratio_diff
: \(\texttt{ratio_diff} = |\frac{\texttt{mean_diff}}{\texttt{mean_diff2}}|\), absolute ratio between the mean of diff
and the mean of diff2
(expected difference between the standardised beta predicted from P-values, and the standardised beta derived from the observed beta divided by the predicted SD; NOT reported). The ratio should be close to 1. If different from 1, then implies that the betas are not in a standard deviation scale.
sd_y_est1
: The standard deviation for the trait inferred from the reported sample size, median standard errors for the SNP-trait assocations and SNP variances.
sd_y_est2
: The standard deviation for the trait inferred from the reported sample size, Z statistics for the SNP-trait effects (beta/se) and allele frequency.
r2 metrics
Sum of variance explained, calculated from the clumped top hits sample.
r2_sum<*>
: r2
statistics under various assumptions
1
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var1}}}\), \(\texttt{var1} = 1\).2
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var2}}}\), \(\texttt{var2} = {\widehat{\texttt{sd1}}_{y}}^2\),3
: \(r^2 = \sum_j{\frac{2 \times \beta_j^2 \times {MAF}_j \times (1 - {MAF}_j)}{\texttt{var3}}}\), \(\texttt{var3} = {\widehat{\texttt{sd2}}_{y}}^2\),4
: \(r^2 = \sum_j{\frac{F_j}{F_j + n - 2}}\), \(F = \frac{\beta_j^2}{{se}_j^2}\).LDSC metrics
Metrics from LD regression
ldsc_nsnp_merge_refpanel_ld
: Number of remaining SNPs after merging with reference panel LD.ldsc_nsnp_merge_regression_ld
: Number of remaining SNPs after merging with regression SNP LD.ldsc_observed_scale_h2_{beta,se}
Coefficient value and SE for total observed scale h2.ldsc_intercept_{beta,se}
: Coefficient value and SE for intercept. Intercept is expected to be 1.ldsc_lambda_gc
: Lambda GC statistics.ldsc_mean_chisq
: Mean \(\chi^2\) statistics.ldsc_ratio
: \(\frac{\texttt{ldsc_intercept_beta} - 1}{\texttt{ldsc_mean_chisq} - 1}\), the proportion of the inflation in the mean \(\chi^2\) that the LD Score regression intercepts ascribes to causes other than polygenic heritability. The value of ratio should be close to zero, though in practice values of 0.1-0.2 are not uncommon, probably due to sample/reference LD Score mismatch or model misspecification (e.g., low LD variants have slightly higher \(h^2\) per SNP).Flags
When a metric needs attention, the flag should return TRUE.
af_correlation
: abs(af_correlation)
< 0.7.inflation_factor
: inflation_factor
> 1.2.n
: n
(max reported sample size) < 10000.is_snpid_non_unique
: NOT is_snpid_unique
.mean_EFFECT_nonfinite
: mean(EFFECT)
is NA
, NaN
, or Inf
.mean_EFFECT_05
: abs(mean(EFFECT))
> 0.5.mean_EFFECT_01
: abs(mean(EFFECT))
> 0.1.mean_chisq
: ldsc_mean_chisq
> 1.3 or ldsc_mean_chisq
< 0.7.n_p_sig
: n_p_sig
> 1000.miss_<*>
: n_miss_<*>
/ n_snps
> 0.01.ldsc_ratio
: ldsc_ratio
> 0.5ldsc_intercept_beta
: ldsc_intercept_beta
> 1.5n_clumped_hits
: n_clumped_hits
> 1000r2_sum<*>
: r2_sum<*>
> 0.5Plots
skim_type | skim_variable | n_missing | complete_rate | character.min | character.max | character.empty | character.n_unique | character.whitespace | numeric.mean | numeric.sd | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
character | ID | 0 | 1.000000 | 3 | 94 | 0 | 13574539 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | REF | 0 | 1.000000 | 1 | 100 | 0 | 57083 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
character | ALT | 0 | 1.000000 | 1 | 342 | 0 | 33337 | 0 | NA | NA | NA | NA | NA | NA | NA | NA |
numeric | CHROM | 0 | 1.000000 | NA | NA | NA | NA | NA | 9.051332e+00 | 6.184961e+00 | 1.00000e+00 | 4.000000e+00 | 8.000000e+00 | 1.300000e+01 | 2.300000e+01 | ▇▅▅▂▂ |
numeric | POS | 0 | 1.000000 | NA | NA | NA | NA | NA | 7.902504e+07 | 5.591474e+07 | 3.02000e+02 | 3.293101e+07 | 7.013846e+07 | 1.148589e+08 | 2.492309e+08 | ▇▆▅▂▁ |
numeric | EFFECT | 0 | 1.000000 | NA | NA | NA | NA | NA | -1.500000e-05 | 6.573300e-03 | -8.89907e-02 | -1.797700e-03 | -1.350000e-05 | 1.776100e-03 | 7.816640e-02 | ▁▁▇▁▁ |
numeric | SE | 0 | 1.000000 | NA | NA | NA | NA | NA | 4.718500e-03 | 4.551600e-03 | 9.23300e-04 | 1.343300e-03 | 2.475500e-03 | 6.781000e-03 | 2.289370e-02 | ▇▂▁▁▁ |
numeric | PVAL | 0 | 1.000000 | NA | NA | NA | NA | NA | 4.916849e-01 | 2.911148e-01 | 1.00000e-07 | 2.373788e-01 | 4.892006e-01 | 7.437175e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | PVAL_ztest | 0 | 1.000000 | NA | NA | NA | NA | NA | 4.916845e-01 | 2.911151e-01 | 1.00000e-07 | 2.373777e-01 | 4.892006e-01 | 7.437167e-01 | 1.000000e+00 | ▇▇▇▇▇ |
numeric | AF | 0 | 1.000000 | NA | NA | NA | NA | NA | 1.908017e-01 | 2.544021e-01 | 1.00000e-03 | 7.429400e-03 | 6.003010e-02 | 2.953020e-01 | 9.989990e-01 | ▇▂▁▁▁ |
numeric | AF_reference | 569292 | 0.958099 | NA | NA | NA | NA | NA | 1.963330e-01 | 2.471006e-01 | 0.00000e+00 | 5.591000e-03 | 8.426520e-02 | 3.081070e-01 | 1.000000e+00 | ▇▂▁▁▁ |
numeric | N | 0 | 1.000000 | NA | NA | NA | NA | NA | 3.608060e+05 | 0.000000e+00 | 3.60806e+05 | 3.608060e+05 | 3.608060e+05 | 3.608060e+05 | 3.608060e+05 | ▁▁▇▁▁ |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 692794 | rs530212009 | CA | C | 0.0021778 | 0.0019664 | 0.2680730 | 0.2680730 | 0.1106400 | 0.1894970 | 360806 |
1 | 693731 | rs12238997 | A | G | 0.0029511 | 0.0018579 | 0.1122000 | 0.1121982 | 0.1158360 | 0.1417730 | 360806 |
1 | 707522 | rs371890604 | G | C | 0.0042127 | 0.0020888 | 0.0437109 | 0.0437100 | 0.0973005 | 0.1293930 | 360806 |
1 | 717587 | rs144155419 | G | A | 0.0014012 | 0.0049838 | 0.7785885 | 0.7785887 | 0.0156910 | 0.0045926 | 360806 |
1 | 723329 | rs189787166 | A | T | 0.0306940 | 0.0147044 | 0.0368519 | 0.0368518 | 0.0017340 | 0.0003994 | 360806 |
1 | 730087 | rs148120343 | T | C | 0.0048254 | 0.0025885 | 0.0622974 | 0.0622965 | 0.0564560 | 0.0127796 | 360806 |
1 | 731718 | rs142557973 | T | C | 0.0026608 | 0.0017620 | 0.1310340 | 0.1310341 | 0.1217420 | 0.1543530 | 360806 |
1 | 732032 | rs61770163 | A | C | 0.0026876 | 0.0018796 | 0.1527429 | 0.1527414 | 0.1211750 | 0.1555510 | 360806 |
1 | 734349 | rs141242758 | T | C | 0.0028651 | 0.0017630 | 0.1041300 | 0.1041305 | 0.1209690 | 0.1525560 | 360806 |
1 | 740284 | rs61770167 | C | T | 0.0031399 | 0.0080658 | 0.6970646 | 0.6970636 | 0.0057852 | 0.0023962 | 360806 |
CHROM | POS | ID | REF | ALT | EFFECT | SE | PVAL | PVAL_ztest | AF | AF_reference | N |
---|---|---|---|---|---|---|---|---|---|---|---|
23 | 154923311 | rs141127553 | C | T | 0.0045462 | 0.0020360 | 0.0255517 | 0.0255508 | 0.0561637 | 0.0309934 | 360806 |
23 | 154923374 | rs111332691 | T | A | 0.0030126 | 0.0022374 | 0.1781550 | 0.1781537 | 0.0447817 | 0.0116556 | 360806 |
23 | 154925045 | rs509981 | C | T | -0.0009236 | 0.0010765 | 0.3909372 | 0.3909346 | 0.2456180 | 0.3634440 | 360806 |
23 | 154925895 | rs538470 | C | T | -0.0008484 | 0.0011012 | 0.4410776 | 0.4410755 | 0.2419280 | 0.3634440 | 360806 |
23 | 154927581 | rs644138 | G | A | 0.0003555 | 0.0010124 | 0.7254843 | 0.7254842 | 0.3021690 | 0.4635760 | 360806 |
23 | 154929412 | rs557132 | C | T | -0.0009362 | 0.0010768 | 0.3846210 | 0.3846206 | 0.2454700 | 0.3568210 | 360806 |
23 | 154929637 | rs35185538 | CT | C | -0.0010148 | 0.0011238 | 0.3665540 | 0.3665526 | 0.2297070 | 0.3011920 | 360806 |
23 | 154929952 | rs4012982 | CAA | C | -0.0008105 | 0.0011326 | 0.4742027 | 0.4742018 | 0.2394320 | 0.3165560 | 360806 |
23 | 154930230 | rs781880 | A | G | -0.0007959 | 0.0010767 | 0.4597640 | 0.4597619 | 0.2458800 | 0.3618540 | 360806 |
23 | 154930487 | rs781879 | T | A | 0.0018094 | 0.0036931 | 0.6241745 | 0.6241740 | 0.0195658 | 0.1263580 | 360806 |
1 692794 rs530212009 CA C . PASS AF=0.11064 ES:SE:LP:AF:SS:ID 0.00217781:0.0019664:0.571747:0.11064:360806:1_692794_CA_C
1 693731 rs12238997 A G . PASS AF=0.115836 ES:SE:LP:AF:SS:ID 0.00295107:0.0018579:0.950007:0.115836:360806:rs12238997
1 707522 rs371890604 G C . PASS AF=0.0973005 ES:SE:LP:AF:SS:ID 0.00421274:0.00208876:1.35941:0.0973005:360806:rs371890604
1 717587 rs144155419 G A . PASS AF=0.015691 ES:SE:LP:AF:SS:ID 0.00140123:0.00498377:0.108692:0.015691:360806:rs144155419
1 723329 rs189787166 A T . PASS AF=0.00173396 ES:SE:LP:AF:SS:ID 0.030694:0.0147044:1.43354:0.00173396:360806:rs189787166
1 730087 rs148120343 T C . PASS AF=0.056456 ES:SE:LP:AF:SS:ID 0.00482541:0.00258849:1.20553:0.056456:360806:rs148120343
1 731718 rs58276399 T C . PASS AF=0.121742 ES:SE:LP:AF:SS:ID 0.00266076:0.00176205:0.882616:0.121742:360806:rs58276399
1 732032 rs61770163 A C . PASS AF=0.121175 ES:SE:LP:AF:SS:ID 0.00268764:0.00187958:0.816039:0.121175:360806:rs61770163
1 734349 rs141242758 T C . PASS AF=0.120969 ES:SE:LP:AF:SS:ID 0.00286514:0.001763:0.982424:0.120969:360806:rs141242758
1 740284 rs61770167 C T . PASS AF=0.00578523 ES:SE:LP:AF:SS:ID 0.00313991:0.00806579:0.156727:0.00578523:360806:rs61770167
1 742813 rs112573343 C T . PASS AF=0.00187907 ES:SE:LP:AF:SS:ID -0.0176955:0.0152264:0.610529:0.00187907:360806:rs112573343
1 749963 rs529266287 T TAA . PASS AF=0.869735 ES:SE:LP:AF:SS:ID -0.00195005:0.00173804:0.581914:0.869735:360806:rs529266287
1 750230 rs190826124 G C . PASS AF=0.00152775 ES:SE:LP:AF:SS:ID 0.0121589:0.015751:0.3564:0.00152775:360806:rs190826124
1 751343 rs28544273 T A . PASS AF=0.122925 ES:SE:LP:AF:SS:ID 0.00201301:0.00172129:0.615801:0.122925:360806:rs28544273
1 751488 rs200141114 G GA . PASS AF=0.14272 ES:SE:LP:AF:SS:ID 0.00144226:0.00170137:0.401644:0.14272:360806:rs200141114
1 751756 rs28527770 T C . PASS AF=0.123041 ES:SE:LP:AF:SS:ID 0.00200765:0.0017189:0.614728:0.123041:360806:rs28527770
1 753405 rs3115860 C A . PASS AF=0.87088 ES:SE:LP:AF:SS:ID -0.0019462:0.00167502:0.610343:0.87088:360806:rs3115860
1 753425 rs3131970 T C . PASS AF=0.875464 ES:SE:LP:AF:SS:ID -0.0019742:0.00170279:0.608541:0.875464:360806:rs3131970
1 753541 rs2073813 G A . PASS AF=0.128641 ES:SE:LP:AF:SS:ID 0.00197128:0.0016792:0.619033:0.128641:360806:rs2073813
1 754105 rs12184325 C T . PASS AF=0.03637 ES:SE:LP:AF:SS:ID -0.00617881:0.00304622:1.37136:0.03637:360806:rs12184325
1 754182 rs3131969 A G . PASS AF=0.870473 ES:SE:LP:AF:SS:ID -0.00201874:0.00167328:0.642748:0.870473:360806:rs3131969
1 754192 rs3131968 A G . PASS AF=0.870579 ES:SE:LP:AF:SS:ID -0.002055:0.00167404:0.658348:0.870579:360806:rs3131968
1 754334 rs3131967 T C . PASS AF=0.87047 ES:SE:LP:AF:SS:ID -0.00202618:0.00167321:0.646055:0.87047:360806:rs3131967
1 754433 rs150578204 G A . PASS AF=0.00504757 ES:SE:LP:AF:SS:ID -0.0032124:0.00858686:0.149767:0.00504757:360806:rs150578204
1 754458 rs142682604 G T . PASS AF=0.00501451 ES:SE:LP:AF:SS:ID -0.00341919:0.00860984:0.160349:0.00501451:360806:rs142682604
1 755435 rs184270342 T G . PASS AF=0.00558365 ES:SE:LP:AF:SS:ID -0.00759768:0.00832153:0.44221:0.00558365:360806:rs184270342
1 755890 rs3115858 A T . PASS AF=0.870553 ES:SE:LP:AF:SS:ID -0.00189219:0.00167027:0.589611:0.870553:360806:rs3115858
1 756434 rs61768170 G C . PASS AF=0.125995 ES:SE:LP:AF:SS:ID 0.00214436:0.00170427:0.681286:0.125995:360806:rs61768170
1 756604 rs3131962 A G . PASS AF=0.870116 ES:SE:LP:AF:SS:ID -0.00187495:0.00166624:0.584221:0.870116:360806:rs3131962
1 757640 rs3115853 G A . PASS AF=0.869403 ES:SE:LP:AF:SS:ID -0.00193071:0.00166472:0.608816:0.869403:360806:rs3115853
1 757734 rs4951929 C T . PASS AF=0.87027 ES:SE:LP:AF:SS:ID -0.00187608:0.00166768:0.584016:0.87027:360806:rs4951929
1 757936 rs4951862 C A . PASS AF=0.870276 ES:SE:LP:AF:SS:ID -0.00187747:0.0016678:0.584551:0.870276:360806:rs4951862
1 758144 rs3131956 A G . PASS AF=0.870285 ES:SE:LP:AF:SS:ID -0.00188733:0.00166785:0.588705:0.870285:360806:rs3131956
1 758626 rs3131954 C T . PASS AF=0.870728 ES:SE:LP:AF:SS:ID -0.0018886:0.0016721:0.58721:0.870728:360806:rs3131954
1 759293 rs10157329 T A . PASS AF=0.0988444 ES:SE:LP:AF:SS:ID 0.00322713:0.00194314:1.01432:0.0988444:360806:rs10157329
1 759600 rs545998451 AGT A . PASS AF=0.00647302 ES:SE:LP:AF:SS:ID -0.00691582:0.00751772:0.446594:0.00647302:360806:1_759600_AGT_A
1 759837 rs3115851 T A . PASS AF=0.874626 ES:SE:LP:AF:SS:ID -0.00200444:0.00169703:0.624252:0.874626:360806:rs3115851
1 761732 rs2286139 C T . PASS AF=0.864015 ES:SE:LP:AF:SS:ID -0.00151214:0.00166418:0.439448:0.864015:360806:rs2286139
1 761752 rs1057213 C T . PASS AF=0.869416 ES:SE:LP:AF:SS:ID -0.00194808:0.00168034:0.608502:0.869416:360806:rs1057213
1 762273 rs3115849 G A . PASS AF=0.86636 ES:SE:LP:AF:SS:ID -0.00210239:0.00168068:0.67579:0.86636:360806:rs3115849
1 762485 rs12095200 C A . PASS AF=0.0987861 ES:SE:LP:AF:SS:ID 0.00253894:0.00201213:0.683996:0.0987861:360806:rs12095200
1 762589 rs3115848 G C . PASS AF=0.871547 ES:SE:LP:AF:SS:ID -0.00221595:0.00169984:0.715883:0.871547:360806:rs3115848
1 762592 rs3131950 C G . PASS AF=0.871547 ES:SE:LP:AF:SS:ID -0.00221642:0.00169984:0.716095:0.871547:360806:rs3131950
1 762601 rs3131949 T C . PASS AF=0.871546 ES:SE:LP:AF:SS:ID -0.00222378:0.00169987:0.719415:0.871546:360806:rs3131949
1 762632 rs3131948 T A . PASS AF=0.87192 ES:SE:LP:AF:SS:ID -0.00225799:0.00170084:0.73443:0.87192:360806:rs3131948
1 764191 rs7515915 T G . PASS AF=0.125571 ES:SE:LP:AF:SS:ID 0.00198134:0.00170216:0.611863:0.125571:360806:rs7515915
1 766007 rs61768174 A C . PASS AF=0.105431 ES:SE:LP:AF:SS:ID 0.00306892:0.00185309:1.01011:0.105431:360806:rs61768174
1 766105 rs2519015 T A . PASS AF=0.855365 ES:SE:LP:AF:SS:ID -0.00218607:0.00166354:0.72397:0.855365:360806:rs2519015
1 767393 rs538667473 A C . PASS AF=0.00165469 ES:SE:LP:AF:SS:ID 0.0292791:0.014736:1.32851:0.00165469:360806:rs538667473
1 768116 rs376645387 A AGTTTT . PASS AF=0.838366 ES:SE:LP:AF:SS:ID -0.00037999:0.00163901:0.0879582:0.838366:360806:rs376645387